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Intern Data Annotation Tech Jobs in Minneapolis, MN

The Data Research and Collection Intern collects and interprets data for our customers affected by ... At Workiva, you'll bring technology to market that executives, boards, and regulators depend on.

The Data Research and Collection Intern collects and interprets data for our customers affected by ... At Workiva, you'll bring technology to market that executives, boards, and regulators depend on.

... technologies. As an intern, you won't just observe -- you'll contribute to meaningful projects ... The data science intern will help drive proactive and predictive insights that inform strategic ...

New

... technologies. As an intern, you won't just observe -- you'll contribute to meaningful projects ... The data science intern will help drive proactive and predictive insights that inform strategic ...

New

Internship - 2027 Undergraduate IT Intern

Maplewood, MN · On-site

$15.25 - $20.50/hr

Internship - 2027Undergraduate IT Intern The role of Undergraduate IT Intern is intended to start ... Data & Analytics. This organization supports enterprise-wide master data management, data ...

New

2027 Intern - Technology

Minneapolis, MN

$15.75 - $21/hr

Technology Intern Our technology interns work with corporations, governments and law firms to meet ... Consultants will start by learning a range of skills around data including e-discovery, digital ...

2027 Intern - Technology

Minneapolis, MN · On-site

$15.75 - $21/hr

Technology Intern Our technology interns work with corporations, governments and law firms to meet ... Consultants will start by learning a range of skills around data including e-discovery, digital ...

2027 Intern - Technology

Plymouth, MN

$15.75 - $21/hr

Technology Intern Our technology interns work with corporations, governments and law firms to meet ... Consultants will start by learning a range of skills around data including e-discovery, digital ...

2027 Intern - Technology

Plymouth, MN · On-site

$15.75 - $21/hr

Technology Intern Our technology interns work with corporations, governments and law firms to meet ... Consultants will start by learning a range of skills around data including e-discovery, digital ...

IT Intern - Summer 2027

Minneapolis, MN · On-site

$15.75 - $21/hr

As an IT intern, you will have broad exposure to our global organizations and leadership teams ... Leverage data analytics and statistical methods to develop business centric insights to support ...

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Intern Data Annotation Tech information

What is an intern data annotation tech?

Intern Data Annotation Techs are entry-level professionals, often students or recent graduates, who support machine learning projects by labeling and categorizing data, such as images, text, or audio. Their work is essential for training AI systems, as accurately annotated data helps algorithms learn to make correct predictions. These interns typically use specialized software tools to tag or classify data according to specific guidelines. The role requires attention to detail, consistency, and sometimes basic technical skills, depending on the complexity of the data and tasks. Internships in data annotation can provide valuable exposure to the fields of artificial intelligence and data science.

What are the key skills and qualifications needed to thrive as an intern data annotation tech?

To thrive as an Intern Data Annotation Tech, you need attention to detail, basic data management skills, and familiarity with data labeling concepts, often supported by a high school diploma or ongoing college coursework. Experience with annotation platforms, spreadsheet tools, and sometimes basic scripting languages is helpful. Strong communication, reliability, and the ability to follow detailed instructions are valuable soft skills in this role. These abilities ensure accurate and efficient data labeling, which is critical for training reliable machine learning models.

What are some common challenges faced by intern data annotation techs, and how can they overcome them?

Intern Data Annotation Techs often encounter challenges such as maintaining consistency in labeling large datasets and understanding nuanced instructions for annotation tasks. To overcome these hurdles, it's important to ask clarifying questions early on, regularly review annotation guidelines, and participate in team discussions about edge cases. Collaboration with more experienced annotators and feedback from supervisors also help in refining skills and ensuring high-quality data preparation. Developing attention to detail and adaptability will contribute to a successful internship experience.

What is the difference between Intern Data Annotation Tech vs Intern Data Labeler?

AspectIntern Data Annotation TechIntern Data Labeler
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentData annotation platforms, remote or officeData labeling platforms, remote or office
Industry UsageAI, machine learning, data scienceAI, machine learning, data science
Job FocusAnnotating data for training AI modelsLabeling data for machine learning algorithms

Both roles involve preparing data for AI systems, with similar skills and work environments. The main difference lies in terminology; 'Data Annotation Tech' emphasizes technical annotation tasks, while 'Data Labeler' is a more general term. Both are entry-level positions vital for training AI models in the tech industry.

Can I do data annotation with no experience?

Intern Data Annotation Tech roles often do not require prior experience, as training is typically provided to teach skills like image or text labeling using annotation tools. Basic computer skills and attention to detail are usually sufficient to start, making it accessible for beginners. Developing familiarity with annotation software and understanding data quality standards can improve job performance over time.

Does data annotation tech actually pay?

Data annotation technicians are paid for their work, with wages typically ranging from minimum wage to higher rates depending on experience, complexity of tasks, and the employer. Payment is usually hourly or per task, and some roles may require basic skills in data labeling tools or software. Compensation varies by company and location but generally provides a reliable income for entry-level positions.

Is it hard to get hired for data annotation?

Getting hired as a data annotation intern typically requires basic computer skills, attention to detail, and sometimes familiarity with annotation tools. Many positions are entry-level and may not require extensive experience, making the application process relatively accessible for beginners. However, competition can vary depending on the company and location.

What are the most commonly searched types of Data Annotation Tech jobs in Minneapolis, MN?

The most popular types of Data Annotation Tech jobs in Minneapolis, MN are:

What are popular job titles related to Intern Data Annotation Tech jobs in Minneapolis, MN?

For Intern Data Annotation Tech jobs in Minneapolis, MN, the most frequently searched job titles are:

What job categories do people searching Intern Data Annotation Tech jobs in Minneapolis, MN look for?

The top searched job categories for Intern Data Annotation Tech jobs in Minneapolis, MN are:

Infographic showing various Intern Data Annotation Tech job openings in Minneapolis, MN as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Intern - Data AI/ML Engineering - Plymouth, MN - Summer 2027

Philips

Plymouth, MN • On-site

$33 - $36/hr

Full-time

Posted 7 days ago


Philips rating

8.3

Company rating: 8.3 out of 10

Based on 83 frontline employees who took The Breakroom Quiz

35th of 161 rated electronics manufacturers


Job description

Job Title
Intern - Data AI/ML Engineering - Plymouth, MN - Summer 2027
Job Description
Intern - Data AI/ML Engineering - Plymouth, MN - Summer 2027
Are you interested in an Internship opportunity with Philips? We welcome individuals who are currently pursuing an undergraduate (BS) and/or graduate (MS) degree to participate in a 3-6 month paid intern opportunities at our site in Plymouth, MN. Through this role you will gain meaningful, hands-on experience working for a HealthTech company.
Your role:
As a Data AI/ML Engineering Intern, you'll be part of a high-performing Software and AI/ML Engineering team within the Image Guided Therapy Devices, IGT-D, Software R&D group, based in Plymouth, MN. In this role, you will support the development, analysis, validation, and documentation of data-driven and machine-learning-enabled workflows for clinical imaging software applications. You will work closely with AI/ML engineers, data scientists, software engineers, product owners, testers, and cross-functional stakeholders to help improve the quality, reliability, traceability, and performance of data and AI/ML models used in medical device software. This is a great way to spend your summer gaining practical experience in healthcare technology, medical imaging data, machine learning workflows, and regulated medical device software development, while contributing to technology that can improve clinical workflow efficiency for physician customers and support better outcomes for patients.
  • Work closely with a member of the Software and AI/ML Engineering team to identify a focused summer project that can be completed during the internship.
  • Support gathering, processing, organizing, and analyzing raw data from different sources, with a focus on clinical imaging or healthcare-related datasets.
  • Assist with exploratory data analysis to identify patterns, trends, data quality issues, unexpected results, or potential preprocessing concerns.
  • Help verify the quality, consistency, and reliability of data sources used for AI/ML model development and validation.
  • Support documentation of data sources, data cleaning processes, exploratory analysis, assumptions, parameters, and performance metrics.
  • Assist data scientists and machine learning engineers with model training, evaluation, tuning, and performance analysis under the guidance of experienced team members.
  • Complete required training necessary to comply with regulatory requirements and quality management system standards.
  • Create and present an end-of-summer intern presentation summarizing your project, technical approach, results, learnings, and impact.

You're the right fit if:
  • Pursuing a bachelor's degree in computer science, computer engineering, or a related field.
  • Interested in AI/ML, data science, medical imaging, healthcare data, clinical imaging software, or medical device software development.
  • Exposure to data analysis, machine learning, statistics, or model evaluation through coursework, academic projects, research, internships, or personal projects.
  • Good problem-solving, debugging, analytical thinking, communication, technical writing, and presentation skills.
  • Familiarity with development tools such as Git, Azure DevOps, Visual Studio, or similar tools is a plus.
  • Team player with good communication, technical writing and presentation skills.
  • Willing and capable of working on-site in the office at our Plymouth, MN site.
  • You must be able to successfully perform the following minimum Physical, Cognitive and Environmental job requirements with or without accommodation for this position.

How we work together
We believe that we are better together than apart. For our office-based teams, this means working in-person at least 3 days per week. Onsite roles require full-time presence in the company's facilities. Field roles are most effectively done outside of the company's main facilities, generally at the customers' or suppliers' locations.
This is an office role.
About Philips
We are a health technology company. We built our entire company around the belief that every human matters, and we won't stop until everybody everywhere has access to the quality healthcare that we all deserve. Do the work of your life to help improve the lives of others.
  • Learn more about our business.
  • Discover our rich and exciting history.
  • Learn more about our purpose.
  • Learn more about our culture.

Philips Transparency Details
The hourly pay range for this position is $33.00 to $36.00, plus overtime eligible. The actual base pay offered may vary within the posted ranges depending on multiple factors including job-related knowledge/skills, experience, business needs, geographical location, and internal equity.
Details about our benefits can be found here.
At Philips, it is not typical for an individual to be hired at or near the top end of the range for their role and compensation decisions are dependent upon the facts and circumstances of each case.
Additional Information
US work authorization is a precondition of employment. The company will not consider candidates who require sponsorship for a work-authorized visa, now or in the future.
Company relocation benefits will not be provided for this position. For this position, you must reside in or within commuting distance to Plymouth, MN.
This requisition is expected to stay active for 45 days but may close earlier if a successful candidate is selected or business necessity dictates. Interested candidates are encouraged to apply as soon as possible to ensure consideration.
Philips is an Equal Employment and Opportunity Employer including Disability/Vets and maintains a drug-free workplace.

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